Bibliographic record
Abstract
JAMES DAVID RISING-Jim to everyonedied in Toronto on 13 March 2018, as a result of complications following surgery.He packed more birding, ornithological research and writing, teaching, and mentoring into his 75 years of life than most of us can hope to do and will be missed greatly by many, many friends and students, as well as his family.Born in Kansas City in 1942, Jim was a keen birder from an early age.A member of the American Ornithologist's Union (AOU, now AOS) at 14, he was active with the Burroughs Bird Club in Kansas City, participating in the city's Christmas Bird Count in the 1950s and 1960s.He also joined the Kansas, Cooper and Wilson Ornithological Societies in his teens, which surely presaged a career in ornithology.Jim completed a B.A. in Zoology at the University of Kansas (KU) in 1964.While there, he began working with Richard Johnston at the KU Natural History Museum.Johnston eventually agreed to be Jim's Ph.D. supervisor-as long as he promised to go elsewhere for a post-doc.Kansas was the perfect place for his doctoral project, however, which was on the hybridization of Bullock's and-Baltimore Orioles in the Great Plains-a subject
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.020 |
| Insufficient payload (model declined to judge) | 0.029 | 0.019 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".